TY - JOUR
T1 - Case Study of an Online Course on Introductory Mathematics for Artificial Intelligence
AU - Lee , Sang-Gu
AU - Lee , Jae Hwa
AU - Nielsen , Youngju L.
AU - Ko , Ho Kyoung
JO - Research Journal of Mathematics & Technology
VL - 2
SP - 92
EP - 108
PY - 2022
DA - 2022/11
SN - 11
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/rjmt/21149.html
KW - 
AB - <p style="text-align: justify;">Artificial Intelligence (AI) is one of the most crucial factor affecting future career choice of students.
Accordingly, we offered students a semester-long Introductory Mathematics for Artificial Intelligence
course. The course was developed to provide undergraduate students with various majors to navigate
their career opportunities in AI-related jobs. This paper presents the newly published textbook and an
online mathematics laboratory that integrated effective technology for this introductory course. In
addition, we introduce a process-driven evaluation method based on the Problem/Project-Based
Learning (PBL) report that worked well for this course. We also share trails of communications with
our students and added the results of our students&#39; performance analysis using principal component
analyses (PCA) with the data generated from the class.</p>